Testing computational models of letter perception with item-level event-related potentials
Identifieur interne : 008052 ( Main/Exploration ); précédent : 008051; suivant : 008053Testing computational models of letter perception with item-level event-related potentials
Auteurs : Arnaud Rey [France] ; Stéphane Dufau [France] ; Stéphanie Massol [France] ; Jonathan Grainger [France]Source :
- Cognitive neuropsychology : (Print) [ 0264-3294 ] ; 2009.
Descripteurs français
- Pascal (Inist)
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- topic : Homme.
English descriptors
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Abstract
In the present study, online measures of letter identification were used to test computational models of letter perception. Event-related potentials (ERPs) were recorded to letters and pseudoletters revealing a transition from feature analysis to letter identification in the 100-200-ms time window. Measures indexing this transition were then computed at the level of individual letters. Simulations with several versions of an interactive-activation model of letter perception were fitted with these item-level ERP measures. The results are in favour of a model of letter perception with feedforward excitatory connections from the feature to the letter levels, lateral inhibition at the letter level, and excitatory feedback from the letter to the feature levels.
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xml:lang="fr"><term>Homme</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In the present study, online measures of letter identification were used to test computational models of letter perception. Event-related potentials (ERPs) were recorded to letters and pseudoletters revealing a transition from feature analysis to letter identification in the 100-200-ms time window. Measures indexing this transition were then computed at the level of individual letters. Simulations with several versions of an interactive-activation model of letter perception were fitted with these item-level ERP measures. The results are in favour of a model of letter perception with feedforward excitatory connections from the feature to the letter levels, lateral inhibition at the letter level, and excitatory feedback from the letter to the feature levels.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Provence-Alpes-Côte d'Azur</li></region><settlement><li>Marseille</li></settlement><orgName><li>Université de Provence</li></orgName></list><tree><country name="France"><region name="Provence-Alpes-Côte d'Azur"><name sortKey="Rey, Arnaud" sort="Rey, Arnaud" uniqKey="Rey A" first="Arnaud" last="Rey">Arnaud Rey</name></region><name sortKey="Dufau, Stephane" sort="Dufau, Stephane" uniqKey="Dufau S" first="Stéphane" last="Dufau">Stéphane Dufau</name><name sortKey="Grainger, Jonathan" sort="Grainger, Jonathan" uniqKey="Grainger J" first="Jonathan" last="Grainger">Jonathan Grainger</name><name sortKey="Massol, Stephanie" sort="Massol, Stephanie" uniqKey="Massol S" first="Stéphanie" last="Massol">Stéphanie Massol</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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